Background: The combination of antimicrobial products is a promising
biomedical strategy against the ever growing number of resistant strains emerging in
healthcare and community settings. Agents with alternative modes of action, such as
antimicrobial peptides (AMPs), and the efficacy of combined actions are being
evaluated. Despite the availability of various antimicrobial data repositories, a wealth
of information remains scattered through the scientific literature.
Objective: The aim of this work is to provide a global view of available interaction
data and help design new antimicrobial studies.
Method: We implemented an automated curation pipeline to produce the first ever
network reconstruction of AMP-drug combinations.
Results: This network relates to antimicrobial combinations experimentally tested against Pseudomonas
aeruginosa infections and includes 239 combinations among AMPs and other antimicrobials.
Conclusions: Reconstruction is on-going, coping with new experimental results for P. aeruginosa, and
will be soon extended to other meaningful microbial pathogens. The network is publicly accessible at